The Guide From Semalt: How To Personalize Your E-Commerce Business Strategy

23.05.2018

The Guide From Semalt: How To Personalize Your E-Commerce Business Strategy

E-commerce personalization is an increasingly popular aspect of e-commerce strategy. It aims at creating completely bespoke online shopping experience by planning steps to nudging customers gently towards making a purchase.

Igor Gamanenko, the Customer Success Manager of Semalt, shares the experience on how to personalize your ecommerce practices and make the most of it for your business.

Imagine if you knew all your customers by their names, knew what their favorite products were, and understood what kinds of offers and languages they responded to. What if you knew when they needed to shop for a product they bought in the past? You'd be really successful in your business, de nitely.

While it's not possible to know all these things about each of your customers, this is the basic idea behind personalization of e-commerce. It is all about understanding the speci cs of your customers' shopping behaviors and customizing your offers to each customer.

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Statistics show that there are numerous great bene ts of e-commerce personalization. Today's overly sophisticated customer believes that personalized online stores have interesting products. The majority of shoppers are likely to revisit a site that recommends relevant products, and about 45% are more likely to order products from a site that personalizes recommendations.

Possible ways of e-commerce personalization Personalizing e-commerce can be done in many ways. Here are some of the most common ways of passing purchase recommendations to your customers:

1. Navigational personalization This involves reviewing a customer's browsing behavior and purchasing history and customizing the way users navigate the site. For instance, if a customer frequently views a product category but doesn't actually buy a product in that category, navigational e-commerce personalization is used to place that product category strategically so that each time the customer visits the site, that product category is what she/he sees rst.

2. Predictive recommendations Recommendation engines can use buying behavior of other users to predict products that a person would be willing to buy in the future. Recommendations are then presented to potential clients through transactional apps and email campaigns. Such recommendations can signi cantly increase sales.

3. Database segmentation This involves dividing your email list and sending different appeals to different groups of email sub-lists based on their history. This segmentation can be based on dates, past purchases, and average order value.

4. Using third-party data You can get data about an audience from targeting data providers. This method helps to serve ads to the right people at the right time.

5. Subject line and content personalization https://rankexperience.com/backuparticles/article886.html

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Emails with personalized subject lines have a higher open rate. Though this concept sounds very basic, it can have a magical effect on your sales. A personalized subject line has great potential to introduce a customer to a product and attract them to buying it. Content needs to be personalized too.

Using the buying behavior and demographics of visitors, you can tailor content to encourage them to take a positive action on the business.

Other types of ecommerce personalization include real-time offers, contextual messaging, and dynamic remarketing.

However, e-commerce personalization requires that data about customers is analyzed accurately to establish the useful patterns for recommendations. This makes this exercise quite complex. All in all, personalizing your e-commerce is undoubtedly one of the most powerful ways of increasing conversion rates and sales.

With the growing popularity of ecommerce personalization, every business must ensure that customer information is collected accurately in a timely manner. It's important to remember that personalization has a bad side – faulty personalization results in wrong recommendations. Mistakes should be avoided completely during the preparation of personalization codes.

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